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20122020
most citedPolynomial Transformation Method for Non-Gaussian Noise Environment

2 citations · 3 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CE2020

Parametric Modeling of EEG by Mono-Component Non-Stationary Signal

Pradip Sircar, Rakesh Kumar Sharma

In this paper, we propose a novel approach for parametric modeling of electroencephalographic (EEG) signals. It is demonstrated that the EEG signal is a mono-component non-stationa…

eess.SP2018★ 1 cited

Parametric Modeling of EEG Signals

Rakesh K. Sharma, Pradip Sircar

In this paper, a new signal model is suggested for parametric representation of the electroencephalogram (EEG) signals. The proposed model which is an amplitude and frequency modul…

eess.SY2018

System Identification via Polynomial Transformation Method

Pradip Sircar

We propose a method based on minimum-variance polynomial approximation to extract system poles from a data set of samples of the impulse response of a linear system. The method is…

eess.SP2018

Parametric Modeling of Non-Stationary Signals

Pradip Sircar

Parametric modeling of non-stationary signals is addressed in this article. We present several models based on the characteristic features of the modeled signal, together with the…

cs.CE2016

Two Dimensional Angle of Arrival Estimation

Santhosh Kumar, Pradip Sircar

We present a new method for the estimation of two dimensional (2D) angles of arrival (AOAs), namely, azimuth and incidence angles of multiple narrowband signals of same frequency i…

math.ST2014★ 2 cited

Polynomial Transformation Method for Non-Gaussian Noise Environment

Jugalkishore K. Banoth, Pradip Sircar

Signal processing in non-Gaussian noise environment is addressed in this paper. For many real-life situations, the additive noise process present in the system is found to be domin…